PENGEMBANGAN WEB E-COMMERCE GLAMORA BEAUTY DENGAN FITUR REKOMENDASI PRODUK BERBASIS FILTER KATEGORI Bahasa Indonesia

Abstract

The wide variety of make-up products makes it difficult for customers to determine products that are suitable for their skin categories. Each customer has different skin types and skin concerns, so a system is needed to assist in the product selection process. This study aims to develop Glamora Beauty, a web-based E-Commerce application for make-up products equipped with a product recommendation feature based on customer skin categories. The application was developed using PHP, HTML, CSS, JavaScript, the Laravel framework, and MySQL database. The recommendation system applies the Content-Based Filtering method with Term FrequencyInverse Document Frequency (TF-IDF) and Cosine Similarity algorithms to calculate the similarity between the categories selected by customers and product attributes. The development results show that the application successfully provides user authentication, product catalog, product recommendations, shopping cart, checkout, order status notifications, reviews, and a dashboard for data management by administrators. For future development, it is recommended to develop a mobile application, add live chat and real-time order status notifications, support the selection of multiple skin categories in the recommendation system, and integrate automated QRIS payment verification.

Keywords: Keywords: E-Commerce, Glamora Beauty, Recommendation System, Content-Based Filtering, TF-IDF